Using OpenStack to improve student experience in an H.E. environment
Carl Pulley , Ibad Kureshi , Stephen Bonner , Yvonne James
science and information conference 888 -893
12
2013
Predicting the Computational Cost of Deep Learning Models.
Stephen Bonner , Daniel Justus , John Brennan , Andrew Stephen McGough
arXiv: Learning
176
2018
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
Boguslaw Obara , Stephen Bonner , Philip T Jackson , John Brennan
international conference on big data 2725 -2734
2020
PBStoHTCondor system for campus grids
John Brennan , Violeta Holmes , Stephen Bonner , Ibad Kureshi
science and information conference 55 -61
1
2015
Advancing research infrastructure using OpenStack.
Ibad Kureshi , Carl Pulley , John Brennan , Violeta Holmes
International Journal of Advanced Computer Science and Applications 3 ( 4)
7
2013
Combining AiG Agents with Unicore Grid for Improvement of User Support
Kamil Lysik , Katarzyna Wasielewska , Marcin Paprzycki , Maria Ganzha
international symposium on computing and networking 66 -74
4
2013
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Stephen Bonner , John Brennan , Ibad Kureshi , Georgios Theodoropoulos
international conference on big data 3737 -3746
14
2018
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions
Stephen Bonner , Amir Atapour-Abarghouei , Philip T Jackson , John Brennan
2019 IEEE International Conference on Big Data (Big Data) 2019 5336 -5345
7
2019
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments
A. Stephen McGough , Matthew Forshaw , John Brennan , Noura Al Moubayed
international green and sustainable computing conference 1 -8
1
2018
Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain
Stephen Bonner , Andrew Stephen McGough , Ibad Kureshi , John Brennan
2015 IEEE International Conference on Big Data (Big Data) 737 -746
19
2015
GFP-X: A parallel approach to massive graph comparison using spark
Stephen Bonner , John Brennan , Georgios Theodoropoulos , Ibad Kureshi
2016 IEEE International Conference on Big Data (Big Data) 3298 -3307
7
2016
Evaluating the quality of graph embeddings via topological feature reconstruction
Stephen Bonner , John Brennan , Ibad Kureshi , Georgios Theodoropoulos
2017 IEEE International Conference on Big Data (Big Data) 2691 -2700
10
2017
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
Stephen Bonner , Ibad Kureshi , John Brennan , Georgios Theodoropoulos
Data Science and Engineering 4 ( 3) 269 -289
35
2019
Exploring the Evolution of Big Data Technologies
Stephen Bonner , Ibad Kureshi , John Brennan , Georgios Theodoropoulos
Software Architecture for Big Data and the Cloud 253 -283
3
2017
Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware)
Andrew Stephen McGough , David Wall , John Brennan , Georgios Theodoropoulos
computer and communications security 1 -12
10
2015
CDES: An Approach to HPC Workload Modelling
John Brennan , Ibad Kureshi , Violeta Holmes
2014 IEEE/ACM 18th International Symposium on Distributed Simulation and Real Time Applications 47 -54
4
2014
Addressing Scalability and Performance for Community Detection and Clustering in Complex Graphs
John Brennan , PATRICK DAVID
Smpte Journal
2021
Build an app and they will come? Lessons learnt from trialling the GetThereBus app in rural communities
David Corsar , Caitlin Cottrill , Mark Beecroft , John D Nelson
IET Intelligent Transport Systems (Nov. 2017). https://doi. org/10.1049/iet-its
4
2016
Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints'
Stephen Bonner , John Brennan , G Theodoropoulos , I Kureshi
mining and learning with graphs
13
2016
MIST 2015 Program
Andrew Stephen , Budi Arief , David Wall , John Brennan
2015